Image recognition method and system for evaluating mine ecological restoration

Abstract

The invention discloses an image recognition method and system for evaluating mine ecological restoration, and the method comprises the steps: collecting ecological data sets before and after mine ecological restoration in a target mine region through a remote sensing satellite, an unmanned plane and field measurement; identifying mine ecological images before and after mine ecological restoration in the ecological data set, and calculating a first difference degree between the restored mine ecological image and the mine ecological image before restoration; according to the ecological data set, calculating an ecological health index after ecological restoration of the mine; comparing the first difference degree with an ideal difference degree to obtain a first comparison result; comparing the ecological health index with an ideal ecological health index to obtain a second comparison result; and evaluating the restoration effect of the mine ecology according to the first comparison result and the second comparison result. According to the embodiment of the invention, comprehensive ecological health assessment can be carried out through quantitative indexes, the actual effect of ecological restoration is more scientifically judged, and scientization, standardization and standardization of mine ecological restoration are promoted.

Description

Technical Field

[0001] The present invention belongs to the technical field of ecological restoration, and in particular to an image recognition method and system for evaluating mine ecological restoration. Background Art

[0002] With the continuous development of the economy and the acceleration of industrialization, the exploitation of mineral resources has had a significant impact on the ecological environment. Mining not only destroys the surface vegetation and soil structure, but also leads to many environmental problems such as water pollution, soil erosion and ecological imbalance. Therefore, mine ecological restoration has become an important measure to protect and restore the ecological environment and achieve sustainable development. Through effective restoration methods, the ecological function of the mining area can be restored, providing important support for biodiversity protection, soil improvement and water purification.

[0003] Currently, there are various methods and technologies for mine ecological restoration around the world, including landfill restoration, plant restoration, soil improvement, etc. However, most existing methods rely on manual monitoring and evaluation, which are inefficient and easily affected by human factors, making it difficult to accurately reflect the restoration effect. Summary of the invention

[0004] The purpose of the present invention is to provide an image recognition method and system for evaluating mine ecological restoration, so as to solve the deficiencies in the prior art, efficiently collect and analyze ecological data, conduct comprehensive ecological health assessments through quantitative indicators, more scientifically judge the actual effects of ecological restoration, and promote the scientific, normalized and standardized nature of mine ecological restoration.

[0005] An embodiment of the present application provides an image recognition method for evaluating mine ecological restoration, the method comprising:

[0006] Collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements;

[0007] Identify the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculate the first difference between the mine ecological images after restoration and the mine ecological images before restoration;

[0008] Calculate the ecological health index of the mine after ecological restoration based on the ecological data set;

[0009] Comparing the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration;

[0010] Comparing the ecological health index with the ideal ecological health index to obtain a second comparison result;

[0011] Based on the first comparison result and the second comparison result, the restoration effect of the mine ecology is evaluated.

[0012] Optionally, the calculating a first difference between the ecological image of the mine after restoration and the ecological image of the mine before restoration includes:

[0013] The color difference is calculated as:

[0014]

[0015] Wherein, H_{pre} is the color histogram of the mine ecological image before restoration, H_{post} is the color histogram of the mine ecological image after restoration, H_{pre}(i) is the value of H_{pre} at the position of the i-th color component, indicating the number of pixels of the i-th color, H_{post}(i) is the value of H_{post} at the position of the i-th color component, and N is the total number of color components;

[0016] The difference between texture and shape is calculated as:

[0017]

[0018] Wherein, D_{texture} is the texture difference:

[0019]

[0020] Wherein, T_{pre} is the texture histogram of the mine ecological image before restoration, T_{post} is the texture histogram of the mine ecological image after restoration, T_{pre}(j) is the feature value of T_{pre} at the jth texture feature, T_{post}(j) is the feature value of T_{post} at the jth texture feature, and M is the total number of texture features;

[0021] The D_{shape} is the shape difference:

[0022]

[0023] Wherein, P_{post}(k) is the value of the mine ecological image at the kth Hu moment after restoration, and P_{pre}(k) is the value of the mine ecological image at the kth Hu moment before restoration;

[0024] According to the color difference and the texture and shape difference, the first difference is calculated as:

[0025] D_{total}=alpha·D_{color}+beta·D_{ts}

[0026] Among them, the alpha and the beta are corresponding weight coefficients.

[0027] Optionally, the calculation formula of the ecological health index is:

[0028] EHI=w_1·E_{biodiversity}+w_2·E_{vegetation}+w_3·E_{soil}+w_4

[0029] ·E_{water}+w_5·E_{air}

[0030] Among them, the EHI is the ecological health index, the E_{biodiversity} is the biodiversity index, the E_{vegetation} is the vegetation cover index, the E_{soil} is the soil health index, the E_{water} is the water quality index, the E_{air} is the air quality index, and the w_1, w_2, w_3, w_4, and w_5 are corresponding influencing factors.

[0031] Optionally, wherein E_{biodiversity} is:

[0032]

[0033] Wherein, S is the number of species in the target mine area after restoration, S_{max} is the ideal number of species, H′ is the Shannon diversity index in the target mine area after restoration, and H′_{max} is the ideal Shannon diversity index;

[0034] The E_{vegetation} is:

[0035]

[0036] Wherein, V_{post} is the vegetation coverage area in the target mine area after restoration, V_{max} is the ideal vegetation coverage area, and C_{NDVI} is the normalized difference vegetation index;

[0037] The E_{soil} is:

[0038]

[0039] Wherein, the pH is the average pH value of the soil in the target mine area after restoration, the pH_{opt} is the ideal pH value, the OC is the average soil organic carbon content in the target mine area after restoration, the OC_{max} is the ideal organic carbon content, and the OC_{min} is the minimum organic carbon content;

[0040] The E_{water} is:

[0041]

[0042] Wherein, C_{pollutants} is the total amount of pollutants in the water body in the target mining area after restoration, and C_{pollutants,max} is the ideal total amount of pollutants allowed in the water body;

[0043] The E_{air} is:

[0044]

[0045] The AQI is the air quality index in the target mine area after restoration, and the AQI_{max} is the ideal air quality index.

[0046] Optionally, comparing the first difference with an ideal difference to obtain a first comparison result includes:

[0047] A ratio of the first difference to the ideal difference is calculated as a first comparison result.

[0048] Optionally, the comparing the ecological health index with the ideal ecological health index to obtain a second comparison result includes:

[0049] The ratio of the ecological health index to the ideal ecological health index is calculated as the second comparison result.

[0050] Optionally, evaluating the restoration effect of the mine ecology according to the first comparison result and the second comparison result includes:

[0051] If the first comparison result is greater than a first preset threshold value and the second comparison result is greater than a second preset threshold value, the restoration effect of the mine ecology is evaluated as: the appearance restoration meets the standard and the ecological environment meets the standard;

[0052] If the first comparison result is greater than a first preset threshold value and the second comparison result is less than or equal to a second preset threshold value, the restoration effect of the mine ecology is evaluated as: the appearance restoration meets the standard, but the ecological environment does not meet the standard;

[0053] If the first comparison result is less than or equal to a first preset threshold value, and the second comparison result is greater than a second preset threshold value, then the restoration effect of the mine ecology is evaluated as follows: the appearance restoration does not meet the standard, but the ecological environment meets the standard;

[0054] If the first comparison result is less than or equal to the first preset threshold and the second comparison result is less than or equal to the second preset threshold, the restoration effect of the mine ecology is evaluated as: the appearance restoration does not meet the standards and the ecological environment does not meet the standards.

[0055] Another embodiment of the present application provides an image recognition system for evaluating mine ecological restoration, the system comprising:

[0056] The acquisition module is used to collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements;

[0057] A first calculation module, used to identify the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculate a first difference between the mine ecological image after restoration and the mine ecological image before restoration;

[0058] A second calculation module is used to calculate the ecological health index of the mine after ecological restoration based on the ecological data set;

[0059] A first comparison module, configured to compare the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration;

[0060] A second comparison module is used to compare the ecological health index with the ideal ecological health index to obtain a second comparison result;

[0061] An evaluation module is used to evaluate the restoration effect of the mine ecology based on the first comparison result and the second comparison result.

[0062] Yet another embodiment of the present application provides a storage medium, wherein the storage medium stores a computer program, wherein the computer program is configured to execute any of the above methods when running.

[0063] Yet another embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute any of the methods described above.

[0064] Compared with the prior art, the present invention provides an image recognition method for evaluating mine ecological restoration, which collects ecological data sets before and after mine ecological restoration in a target mining area through remote sensing satellites, drones and field measurements; identifies mine ecological images before and after mine ecological restoration in the ecological data set, and calculates a first difference between the mine ecological image after restoration and the mine ecological image before restoration; calculates an ecological health index after mine ecological restoration based on the ecological data set; compares the first difference with the ideal difference to obtain a first comparison result; compares the ecological health index with the ideal ecological health index to obtain a second comparison result; and evaluates the restoration effect of the mine ecology based on the first comparison result and the second comparison result, thereby enabling efficient collection and analysis of ecological data, conducting a comprehensive ecological health assessment through quantitative indicators, more scientifically judging the actual effect of ecological restoration, and promoting the scientific, standardized and normalized mine ecological restoration. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] Figure 1 A hardware structure block diagram of a computer terminal for an image recognition method for evaluating mine ecological restoration provided by an embodiment of the present invention;

[0066] Figure 2 A schematic diagram of a flow chart of an image recognition method for evaluating mine ecological restoration provided by an embodiment of the present invention;

[0067] Figure 3 A schematic diagram of the structure of an image recognition system for evaluating mine ecological restoration provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0068] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, but should not be construed as limiting the present invention.

[0069] The embodiment of the present invention first provides an image recognition method for evaluating mine ecological restoration. The method can be applied to electronic devices, such as computer terminals, specifically ordinary computers, etc.

[0070] The following describes it in detail by taking running on a computer terminal as an example. Figure 1 The hardware structure block diagram of a computer terminal for an image recognition method for evaluating mine ecological restoration provided by an embodiment of the present invention. Figure 1 As shown, the computer terminal may include one or more ( Figure 1 Only one is shown in the figure) a processor 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 104 for storing data. Optionally, the computer terminal may also include a transmission device 106 for communication functions and an input and output device 108. It can be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above-mentioned computer terminal. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations shown.

[0071] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / modules corresponding to the image recognition method for evaluating mine ecological restoration in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implementing the above method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor 102, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0072] The transmission device 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of a computer terminal. In one example, the transmission device 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0073] See also Figure 2 , an embodiment of the present invention provides an image recognition method for evaluating mine ecological restoration, which may include the following steps:

[0074] S201, collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements;

[0075] 1. Application of remote sensing satellites: Remote sensing satellite technology can be used to obtain a wide range of surface information from high altitudes. The multispectral sensors equipped by satellites can capture spectral data in different bands, which can be used to analyze vegetation types, coverage, soil moisture and other environmental information. By comparing satellite images at different time points before and after restoration, a data set can be formed to help researchers understand vegetation restoration and soil changes in the mining area.

[0076] 2. Use of drones: Drones fly at lower altitudes and are equipped with high-definition cameras and sensors, which can obtain more detailed and local ecological data. In the mine restoration area, drones can take fixed-point aerial photos to record the ecological characteristics of specific areas, including vegetation types, soil erosion, and water quality. Drone trajectory planning technology can ensure the comprehensiveness and consistency of data collection.

[0077] 3. Field measurement method: In order to improve the accuracy of data, field measurement is indispensable. By obtaining samples from the actual ecological restoration site, researchers can obtain information such as soil pH, organic matter content, water quality parameters, and biodiversity. This information can be used as a calibration and supplement for remote sensing and drone data to ensure the comprehensiveness and authenticity of ecological data sets. Role and significance:

[0078] 1. Comprehensiveness of data collection: By combining the efficient data collection capabilities of remote sensing satellites and drones, as well as detailed supplements from field measurements, a comprehensive and accurate ecological data set can be formed. Such a data set can meet the needs of evaluating the effects of mine ecological restoration in terms of spatial scope and temporal resolution.

[0079] 2. Real-time and dynamic monitoring: Remote sensing and drone technology can be used to monitor mining areas regularly or even in real time, timely capture ecological changes, and reflect the real-time progress of ecological restoration. This dynamic monitoring capability helps to promptly identify problems that arise during the restoration process and take corresponding adjustment measures.

[0080] 3. Scientificity and objectivity: Through the comprehensive use of multiple data sources, the effect of mine ecological restoration can be evaluated in a more scientific and objective way. The results obtained through data analysis can reduce the errors caused by human subjective judgment and improve the credibility of the evaluation.

[0081] 4. Provide a basis for subsequent decision-making: The collected ecological data set can provide a reliable basis for subsequent mine ecological restoration decisions. Decision makers can optimize restoration strategies based on the results of data analysis to ensure more effective restoration of the ecological environment. A specific implementation method may include:

[0082] Step 1: Select the monitoring target area, determine the target mining area, and divide the monitoring area that can reflect the effect of mine ecological restoration.

[0083] Step 2: Plan the flight trajectory of remote sensing satellites and drones Based on the topographic and ecological characteristics of the target area, design the flight trajectory of remote sensing satellites and drones to ensure that all key ecological features of the entire mining area are covered.

[0084] Step 3: Set remote sensing equipment parameters According to the target monitoring requirements, set the sensor parameters of remote sensing satellites and drones, including spectral bands, resolution, shooting frequency, etc., to ensure that ecological data that meets the requirements is obtained.

[0085] Step 4: Data collection: Use remote sensing satellites to collect data over a large area and obtain satellite images at each monitoring time point. At the same time, use drones to take high-resolution local aerial photos to obtain detailed vegetation and soil information.

[0086] Step 5: Field measurement and sampling Select representative sample points in the mining area, conduct field measurements, collect soil, plant, water and other samples, and record relevant environmental parameters (such as pH value, organic matter and water quality indicators, etc.).

[0087] Step 6: Data integration and processing Integrate remote sensing satellite images, drone aerial images and field measurement data to create a unified ecological data set. Use image processing software to pre-process the images, including noise removal, geometric correction and radiation correction.

[0088] Through the above steps, combined with remote sensing, UAV and field measurement methods, it is possible to achieve efficient collection and processing of ecological data sets before and after mine ecological restoration, laying the foundation for the subsequent calculation of ecological health index and evaluation of restoration effects.

[0089] S202, identifying the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculating a first difference between the mine ecological image after restoration and the mine ecological image before restoration;

[0090] 1. Identify mine ecological images: In the ecological data set, use image processing technology to extract mine ecological images before and after restoration. This process usually involves the following steps:

[0091] - Image preprocessing: including denoising, contrast enhancement, and image size standardization to ensure the accuracy of subsequent analysis.

[0092] - Image classification: Apply machine learning or deep learning algorithms to classify and label different areas in the image (such as vegetation, bare soil, water bodies, etc.), laying the foundation for subsequent difference analysis.

[0093] 2. Calculate the first difference: The key to this step is to quantify the difference between the image before and after restoration, which is mainly calculated through the following aspects:

[0094] -Color difference (D_color): mainly reflects the changes in color of vegetation coverage, soil quality, etc., as well as the visual differences under different ecological conditions.

[0095] - Texture and shape difference (D_ts): The changes in texture and shape in the image after the ecological restoration of the mine can reflect the structural changes (such as vegetation growth, soil stability, etc.).

[0096] -Through the calculation of these differences, the first difference (D_total) is obtained, which provides a quantitative basis for subsequent ecological health assessment.

[0097] 1. Quantify ecological changes: By comparing the ecological images of the mine before and after restoration, the effect of ecological restoration can be clearly quantified. This provides a scientific basis for the evaluation of ecological restoration projects and can accurately grasp the progress of restoration work.

[0098] 2. Identify restoration priorities: Through color and texture analysis, key problem areas in ecological restoration can be identified, such as plots with poor vegetation recovery. This information is of great guiding significance for the formulation of subsequent restoration measures and resource allocation.

[0099] 3. Improve decision-making efficiency: Reliable difference analysis can help decision makers understand the effectiveness of restoration projects in a timely manner, optimize resources and measures, and improve the efficiency of ecological restoration work.

[0100] Specifically, the color difference can be calculated as:

[0101]

[0102] Among them, the formula quantifies color differences by comparing color histograms before and after restoration, providing an intuitive indicator of ecological changes.

[0103] H_{pre} is the color histogram of the mine ecological image before restoration, H_{post} is the color histogram of the mine ecological image after restoration, H_{pre}(i) is the value of H_{pre} at the position of the i-th color component, indicating the number of pixels of the i-th color, reflecting the color distribution of the image before restoration. H_{post}(i) is the value of H_{post} at the position of the i-th color component, reflecting the color change of the image after restoration. N is the total number of color components, which is usually determined according to the color depth of the image (such as N = 256 in RGB color space).

[0104] The difference between texture and shape can be calculated as:

[0105]

[0106] Wherein, D_{texture} is the texture difference:

[0107]

[0108] Among them, this formula focuses on the changes in texture features of the image, allowing changes in surface features such as soil and vegetation to be reflected, which in turn affects ecological assessment.

[0109] T_{pre} is the texture histogram of the mine ecological image before restoration, T_{post} is the texture histogram of the mine ecological image after restoration, T_{pre}(j) is the eigenvalue of T_{pre} at the jth texture feature, T_{post}(j) is the eigenvalue of T_{post} at the jth texture feature, M is the total number of texture features, which can be extracted through texture invariant features (such as GLCM, LBP, etc.).

[0110] The D_{shape} is the shape difference:

[0111]

[0112] Among them, this formula reflects structural changes by comparing shape characteristics (such as Hu moment) before and after restoration, and can capture the changes in geometric characteristics during the ecological restoration process.

[0113] The P_{post}(k) is the value of the mine ecological image at the kth Hu moment after restoration, describing the shape feature. The P_{pre}(k) is the value of the mine ecological image at the kth Hu moment before restoration. The range of k is 1 to 7, representing seven Hu moment features.

[0114] According to the color difference and the texture and shape difference, the first difference is calculated as:

[0115] D_{total}=alpha·D_{color}+beta·D_{ts}

[0116] Among them, the comprehensive consideration of color difference and texture and shape difference can fully quantify the ecological changes between images and provide a comprehensive indicator. The alpha and beta are corresponding weight coefficients, reflecting the contribution of color difference and texture and shape difference to the overall difference, which can be adjusted according to the specific restoration environment and goals.

[0117] Through the above analysis, the comprehensive difference calculation method can effectively identify and quantify the changes before and after mine ecological restoration, providing a solid foundation for the subsequent ecological health index evaluation.

[0118] S203, calculating the ecological health index of the mine after ecological restoration according to the ecological data set;

[0119] In the evaluation of the ecological restoration effect of mines, the calculation of the Ecological Health Index (EHI) is a crucial step. This method forms a comprehensive evaluation index by comprehensively considering multiple influencing factors (such as biodiversity, vegetation cover, soil quality, water quality and air quality) to comprehensively evaluate the ecological status of mines after ecological restoration.

[0120] 1. Comprehensive assessment of ecological health: The calculation of the ecological health index takes into account the comprehensive impact of multiple ecological factors and can provide a comprehensive assessment of the ecological restoration effect of the mine. Through multi-dimensional data integration, it avoids the one-sided problem that may be caused by a single indicator, making the assessment results more scientific.

[0121] 2. Quantify the restoration effect: Through EHI, the effect of mine ecological restoration can be quantified and clear data support can be provided to decision makers. These data can help mine managers improve restoration strategies, optimize resource allocation, and improve restoration effects.

[0122] 3. Monitoring and evaluation mechanism: The establishment of the ecological health index provides a standardized reference for subsequent ecological monitoring and evaluation, which can continuously track changes in the ecological environment of the mine and provide continuous feedback for long-term restoration.

[0123] 4. Policy formulation and implementation: Through the calculation and analysis of the ecological health index, it can provide a scientific basis for the government and relevant agencies to formulate environmental protection policies and implement ecological restoration projects, thereby promoting sustainable development.

[0124] Specifically, a calculation formula for an ecological health index can be:

[0125] EHI=w_1·E_{biodiversity}+w_2·E_{vegetation}+w_3·E_{soil}+w_4

[0126] ·E_{water}+w_5·E_{air}

[0127] The EHI formula combines multiple ecological indicators through a weighted approach, including biodiversity, vegetation cover, soil health, water quality and air quality, aiming to fully reflect the ecological status of the mining area. This design allows each factor to reflect its importance in the same indicator.

[0128] Among them, EHI is the ecological health index, E_{biodiversity} is the biodiversity index, E_{vegetation} is the vegetation cover index, E_{soil} is the soil health index, E_{water} is the water quality index, E_{air} is the air quality index, and w_1, w_2, w_3, w_4, and w_5 are the corresponding influencing factors. The five indices independently evaluate different aspects of ecological health. The five influencing factors reflect the contribution of different ecological factors to the overall ecological health index. Depending on the specific situation, the changing weights can highlight the impact of certain specific environmental factors.

[0129] Specifically, the E_{biodiversity} may be:

[0130]

[0131] Among them, this formula combines the number of species and the Shannon diversity index, which can fully reflect the diversity and health of the ecosystem. The S is the number of species in the target mine area after restoration, reflecting the biodiversity of the ecosystem. The S_{max} is the ideal number of species, and the H′ is the Shannon diversity index in the target mine area after restoration, which comprehensively considers the richness and uniformity of species. The H′_{max} is the ideal Shannon diversity index, indicating the diversity of the ecosystem in the best state.

[0132] The E_{vegetation} can be:

[0133]

[0134] Among them, the formula quantifies the vegetation coverage and its health, and enhances its accuracy through the normalized difference vegetation index (NDVI). The V_{post} is the vegetation coverage area in the target mine area after restoration, which directly reflects the ecological restoration effect. The V_{max} is the ideal vegetation coverage area, indicating the target level of ecological restoration. The C_{NDVI} is the normalized difference vegetation index, which is an indicator of the vegetation growth status and is usually obtained through remote sensing technology.

[0135] The E_{soil} can be:

[0136]

[0137] Among them, this formula takes into account the chemical and biological characteristics of the soil and can effectively reflect the health of the soil. The pH is the average pH value of the soil in the target mine area after restoration, which affects plant growth and microbial activity. The pH_{opt} is the ideal pH value, indicating the optimal soil acid-base conditions. The OC is the average soil organic carbon content in the target mine area after restoration, which is a key indicator of soil health. The OC_{max} is the ideal organic carbon content, and the OC_{min} is the minimum organic carbon content to ensure that there is no over-exploitation or soil deterioration.

[0138] The E_{water} can be:

[0139]

[0140] Among them, this formula is used to quantify the pollutant content in the water body and reflect the health of the water quality. The C_{pollutants} is the total amount of pollutants in the water body in the target mine area after restoration, which directly affects the water quality. The C_{pollutants,max} is the ideal total amount of pollutants allowed in the water body, providing a healthy water quality standard.

[0141] The E_{air} can be:

[0142]

[0143] The formula is used to evaluate air quality and quantify the degree of air pollution through the air quality index (AQI). The AQI is the air quality index in the target mine area after restoration, which measures air pollution. The AQI_{max} is the ideal air quality index, indicating the optimal state of air quality.

[0144] Through the above analysis, the calculation of the Ecological Health Index (EHI) involves multiple key ecological parameters. The design of each sub-indicator and the determination of parameters have their specific scientific basis and purpose, ensuring that this comprehensive assessment tool can effectively reflect the effectiveness of mine ecological restoration. This method not only helps to understand and monitor the health status of the ecosystem, but also provides solid data support for policy making and subsequent restoration.

[0145] S204, comparing the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration;

[0146] The main purpose of this step is to compare the first difference (D_total) calculated actually with the set ideal difference. The ideal difference refers to the difference between the ideal mine ecological image and the mine ecological image before restoration under the best ecological conditions. This setting provides a benchmark to evaluate whether the actual restoration effect meets the ideal goal.

[0147] -The first difference (D_total) is a quantitative indicator obtained by calculating the degree of difference in color, texture and shape between the ecological image of the mine after restoration and the image before restoration. This value reflects the actual effectiveness of the restoration work.

[0148] - Ideal difference is a predefined standard that indicates the difference between two images under the most ideal ecological conditions. For example, under ideal conditions, there should be abundant vegetation, rich biodiversity and good soil quality, which will make the difference between the ideal ecological image and the image before restoration larger.

[0149] By comparing these two differences, the first comparison result can reveal the relative effect of ecological restoration and help decision makers judge the effectiveness of restoration measures.

[0150] -Effect evaluation: By comparing the first difference with the ideal difference, the effectiveness of mine ecological restoration can be objectively judged. For example, if the first difference is close to the ideal difference, it means that the restoration effect is good, otherwise, it means that the restoration effect is not ideal.

[0151] - Improvement guidance: This comparison helps identify which aspects of restoration measures need to be improved. If the first comparison results show that the difference is small, it may indicate that more resources need to be invested in specific ecological elements (such as vegetation restoration, biodiversity, etc.).

[0152] -Decision support: Provide managers with quantitative assessment results of restoration work to support subsequent decision-making processes. When formulating environmental management and restoration strategies, more detailed data can be used to guide actions.

[0153] Specifically, a ratio R_1 between the first difference and the ideal difference may be calculated as the first comparison result.

[0154] -Intuitive understanding: The ratio R_1 can be used to intuitively understand the quality of the restoration effect. For example, if R_1=1, it means that the actual difference is exactly the same as the ideal difference; if R_1>1, it means that the actual difference is higher than the ideal standard, which may mean that the ecological restoration is excessive and needs to be adjusted to adapt to the ecological balance; if R_1<1, it means that the restoration effect has not reached the ideal state.

[0155] -Quantitative evaluation: It provides a quantitative indicator that enables decision makers to make horizontal comparisons between different ecological restoration projects. Using this ratio, the effects of different mine restoration projects can be relatively evaluated, and cases with better restoration effects or relatively weak areas can be identified.

[0156] - Promote optimization and adjustment: By monitoring the changes in the ratio, managers can adjust the repair strategy in a timely manner. If it is found that R_1 is continuously lower than the expected threshold, it indicates that the repair plan and countermeasures need to be re-evaluated to ensure the effective implementation of the repair work.

[0157] -Scientific research and policy making: This ratio can also provide a data basis for subsequent scientific research, help researchers analyze the key factors affecting the effectiveness of mine ecological restoration, and provide data support and theoretical basis for policy formulation and implementation.

[0158] By comparing the first difference with the ideal difference, an effective evaluation mechanism can be formed, which not only provides data support for the judgment of the current restoration effect, but also provides a strong basis for future ecological management and policy formulation. The ratio calculation of the first comparison result further enhances the practicality and scientific nature of this mechanism, making the evaluation of ecological restoration more efficient and accurate.

[0159] S205, comparing the ecological health index with the ideal ecological health index to obtain a second comparison result;

[0160] In this step, the calculated Ecological Health Index (EHI) will be compared with a preset ideal Ecological Health Index to generate an indicator called the "second comparison result". The ideal Ecological Health Index is a standard value that reflects the best ecological status and represents the optimal state of the ecosystem in terms of biodiversity, vegetation cover, soil health, water quality and air quality.

[0161] Specifically, the ratio R_2 of the ecological health index to the ideal ecological health index can be calculated as the second comparison result.

[0162] 1. Ecological status assessment: By comparing the actual ecological health index with the ideal ecological health index, the effect of mine ecological restoration can be objectively judged. For example, if R_2 = 1, it means that the ecological health status after restoration has completely reached the ideal standard; if R_2 < 1, it means that the ecological health has not reached the ideal state and further restoration measures may be needed.

[0163] 2. Ecological management decision support: The second comparison result provides managers with a quantitative basis, enabling them to make more reasonable ecological management decisions based on scientific data. If R_2 shows a large deviation, managers can explore the optimization and improvement strategies of relevant ecological factors.

[0164] 3. Optimize resource allocation: By comparing the results, managers can identify areas that need more attention and resource investment. This helps to rationally allocate resources and focus on solving key issues that affect ecological health, thereby improving the efficiency and effectiveness of restoration work.

[0165] 4. Promote continuous improvement: With the gradual monitoring and evaluation of the ecological health index, managers can adjust their strategies based on the comparison results, forming a feedback loop to promote continuous improvement of ecological restoration work.

[0166] Through the ratio R_2, managers can quantify the gap between the actual effect of ecological restoration and the ideal effect. For example, if R_2 = 0.8, it means that the actual ecological health is only 80% of the ideal health, which reflects that ecological work needs to be improved.

[0167] This ratio can not only reflect the current ecological status, but also provide direction for future ecological restoration. If R_2 shows that it is continuously below a certain threshold, it may be necessary to review the effectiveness of existing restoration measures or adopt new restoration technologies and strategies.

[0168] Using this ratio, managers can make horizontal comparisons between different mine restoration projects, or make longitudinal comparisons within the same project over time. This flexibility makes the assessment of ecological restoration more comprehensive and in-depth.

[0169] It can also provide a scientific basis for the formulation of relevant policies and help decision makers focus on key ecological issues. The data obtained through comparison can be used to advocate higher standards of ecological restoration policies and guide society to pay more attention to environmental protection.

[0170] By comparing the ecological health index with the ideal ecological health index, the effect of mine ecological restoration can be quantified and evaluated, providing a scientific basis for subsequent management and decision-making. The calculation results of the ratio can more accurately identify deficiencies in ecological restoration, thereby optimizing resource allocation and restoration strategies and promoting the continuous improvement of the ecological environment.

[0171] S206: Evaluate the restoration effect of the mine ecology according to the first comparison result and the second comparison result.

[0172] In this step, the effect of mine ecological restoration is systematically evaluated by combining the first comparison result with the second comparison result. The first comparison result is the ratio of the actual difference to the ideal difference, and the second comparison result is the ratio of the ecological health index to the ideal ecological health index. Through these two indicators, the effect of mine ecological restoration can be comprehensively judged to provide a comprehensive evaluation.

[0173] 1. Comprehensive analysis: Combine the first comparison result (such as R_1) and the second comparison result (such as R_2) and put them together for comprehensive analysis to determine whether the goal of ecological restoration has been achieved.

[0174] 2. Effect classification: Classify the ecological restoration effects according to the preset threshold. This process involves comparing the first and second comparison results to draw different conclusions on the ecological restoration effect evaluation.

[0175] 1. Comprehensive evaluation: By combining the first and second comparison results, a comprehensive evaluation of the ecological restoration effect of the mine is formed. This process focuses not only on visual differences (image presentation) but also on the health of the ecosystem to ensure the comprehensiveness and accuracy of the evaluation results.

[0176] 2. Scientific decision support: The assessment results provide a scientific basis for ecological managers to help them formulate corresponding management measures according to different ecological restoration effects. If the assessment results indicate that the ecological environment meets the standards but the visual effect is not good, managers may need to adjust the subsequent restoration strategy.

[0177] 3. Guidance for improvement: The results of the assessment can help identify deficiencies in ecological restoration and guide subsequent improvements. For example, if the first result shows that the visual effect is good but the ecological health index is low, it is necessary to strengthen the restoration measures for ecological health.

[0178] 4. Promote awareness: Through clear and explicit assessment results, it helps to raise awareness of the importance of mine ecological restoration among local governments, enterprises and the public. This can promote a higher level of environmental protection and ecological restoration awareness.

[0179] Specifically, if the first comparison result is greater than a first preset threshold value and the second comparison result is greater than a second preset threshold value, the restoration effect of the mine ecology is evaluated as: the appearance restoration meets the standard and the ecological environment meets the standard;

[0180] If the actual difference (first comparison result) and the ecological health index (second comparison result) are both higher than their respective preset thresholds, it means that the visual appearance and ecological health of the mine have reached the expected standards, indicating that the restoration work has been successful. This evaluation result can inspire confidence in the ecological restoration work of all parties, confirm the effectiveness of its restoration measures, and thus attract more investment and support.

[0181] If the first comparison result is greater than a first preset threshold value and the second comparison result is less than or equal to a second preset threshold value, the restoration effect of the mine ecology is evaluated as: the appearance restoration meets the standard, but the ecological environment does not meet the standard;

[0182] The first comparison result meets the standard, which means the visual effect is good; but the second comparison result is below the standard, which indicates that the ecological health is insufficient, and there may be problems such as water quality and soil quality. This assessment result reminds managers that although the appearance has been restored, the internal health of the ecosystem still needs attention and further measures need to be taken to improve the ecological quality.

[0183] If the first comparison result is less than or equal to a first preset threshold value, and the second comparison result is greater than a second preset threshold value, then the restoration effect of the mine ecology is evaluated as follows: the appearance restoration does not meet the standard, but the ecological environment meets the standard;

[0184] This situation shows that although the ecological health index is high, which means that the restored ecosystem has healthy ecological functions and structures, the visual effect has not met expectations, which may be due to insufficient vegetation coverage or terrain changes. This assessment result emphasizes that in the restoration process, we should not only pay attention to the restoration of ecological functions, but also not ignore the visual restoration of the ecology, and take measures to improve the visual landscape.

[0185] If the first comparison result is less than or equal to the first preset threshold and the second comparison result is less than or equal to the second preset threshold, the restoration effect of the mine ecology is evaluated as: the appearance restoration does not meet the standards and the ecological environment does not meet the standards.

[0186] In this case, both the visual effect and ecological health have not reached the preset standards, indicating that the restoration work has not been successful and a comprehensive assessment and reorganization of the restoration measures are needed. This assessment result warns managers that urgent and effective measures need to be taken to make adjustments to ensure that the ecological restoration goals can be successfully completed to avoid long-term non-compliance with standards and cause greater damage to the environment.

[0187] 1. Hierarchical management: By evaluating different situations, managers can formulate targeted repair strategies. Different evaluation results correspond to different treatment plans, improving management efficiency.

[0188] 2. Promote multi-dimensional assessment: It emphasizes the idea of ​​giving equal importance to visual restoration and ecological health, and encourages managers to consider multiple factors when formulating restoration measures, so as to achieve more comprehensive ecological restoration goals.

[0189] 3. Adjust resource priorities: Based on the assessment results, mobilize resources to prioritize investment in areas that are most needed. For example, when the ecological environment does not meet standards, it may be necessary to increase investment in soil and water quality management.

[0190] 4. Effective feedback mechanism: These steps form an effective feedback mechanism, so that each stage of the ecological restoration process can be evaluated and adjusted in a timely manner to ensure that the restoration work develops in the right direction.

[0191] 5. Improve public transparency: Through the evaluation of graded effects, the progress and results of restoration work can be better demonstrated to the public and stakeholders, thereby enhancing the transparency and trust in ecological restoration work.

[0192] Through the above steps, a complete set of scientific and systematic judgment mechanisms are provided for the evaluation process of mine ecological restoration. Through these two steps, the mine ecological restoration work can be effectively evaluated and guided to ensure that it achieves the established ecological goals and provide strong support for sustainable development and environmental protection.

[0193] It can be seen that through remote sensing satellites, drones and field measurements, ecological data sets before and after mine ecological restoration in the target mining area are collected; the mine ecological images before and after mine ecological restoration in the ecological data set are identified, and the first difference between the mine ecological image after restoration and the mine ecological image before restoration is calculated; according to the ecological data set, the ecological health index of the mine after ecological restoration is calculated; the first difference is compared with the ideal difference to obtain a first comparison result; the ecological health index is compared with the ideal ecological health index to obtain a second comparison result; according to the first comparison result and the second comparison result, the restoration effect of the mine ecology is evaluated, so that ecological data can be efficiently collected and analyzed, and a comprehensive ecological health assessment can be carried out through quantitative indicators, so as to more scientifically judge the actual effect of ecological restoration and promote the scientific, standardized and standardized ecological restoration of mines.

[0194] Another embodiment of the present invention provides an image recognition system for evaluating mine ecological restoration, see Figure 3 , the system may include:

[0195] The collection module 301 is used to collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements;

[0196] A first calculation module 302 is used to identify the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculate a first difference between the mine ecological image after restoration and the mine ecological image before restoration;

[0197] The second calculation module 303 is used to calculate the ecological health index of the mine after ecological restoration according to the ecological data set;

[0198] A first comparison module 304 is used to compare the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration;

[0199] A second comparison module 305 is used to compare the ecological health index with the ideal ecological health index to obtain a second comparison result;

[0200] The evaluation module 306 is used to evaluate the restoration effect of the mine ecology according to the first comparison result and the second comparison result.

[0201] It can be seen that through remote sensing satellites, drones and field measurements, ecological data sets before and after mine ecological restoration in the target mining area are collected; the mine ecological images before and after mine ecological restoration in the ecological data set are identified, and the first difference between the mine ecological image after restoration and the mine ecological image before restoration is calculated; according to the ecological data set, the ecological health index of the mine after ecological restoration is calculated; the first difference is compared with the ideal difference to obtain a first comparison result; the ecological health index is compared with the ideal ecological health index to obtain a second comparison result; according to the first comparison result and the second comparison result, the restoration effect of the mine ecology is evaluated, so that ecological data can be efficiently collected and analyzed, and a comprehensive ecological health assessment can be carried out through quantitative indicators, so as to more scientifically judge the actual effect of ecological restoration and promote the scientific, standardized and standardized ecological restoration of mines.

[0202] An embodiment of the present invention further provides a storage medium, in which a computer program is stored, wherein the computer program is configured to execute the steps of any of the above method embodiments when running.

[0203] Specifically, in this embodiment, the above storage medium may be configured to store a computer program for performing the following steps:

[0204] S201, collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements;

[0205] S202, identifying the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculating a first difference between the mine ecological image after restoration and the mine ecological image before restoration;

[0206] S203, calculating the ecological health index of the mine after ecological restoration according to the ecological data set;

[0207] S204, comparing the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration;

[0208] S205, comparing the ecological health index with the ideal ecological health index to obtain a second comparison result;

[0209] S206: Evaluate the restoration effect of the mine ecology according to the first comparison result and the second comparison result.

[0210] It can be seen that through remote sensing satellites, drones and field measurements, ecological data sets before and after mine ecological restoration in the target mining area are collected; the mine ecological images before and after mine ecological restoration in the ecological data set are identified, and the first difference between the mine ecological image after restoration and the mine ecological image before restoration is calculated; according to the ecological data set, the ecological health index of the mine after ecological restoration is calculated; the first difference is compared with the ideal difference to obtain a first comparison result; the ecological health index is compared with the ideal ecological health index to obtain a second comparison result; according to the first comparison result and the second comparison result, the restoration effect of the mine ecology is evaluated, so that ecological data can be efficiently collected and analyzed, and a comprehensive ecological health assessment can be carried out through quantitative indicators, so as to more scientifically judge the actual effect of ecological restoration and promote the scientific, standardized and standardized ecological restoration of mines.

[0211] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the steps in any one of the above method embodiments.

[0212] Specifically, the electronic device may further include a transmission device and an input / output device, wherein the transmission device is connected to the processor, and the input / output device is connected to the processor.

[0213] Specifically, in this embodiment, the processor may be configured to perform the following steps through a computer program:

[0214] S201, collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements;

[0215] S202, identifying the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculating a first difference between the mine ecological image after restoration and the mine ecological image before restoration;

[0216] S203, calculating the ecological health index of the mine after ecological restoration according to the ecological data set;

[0217] S204, comparing the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration;

[0218] S205, comparing the ecological health index with the ideal ecological health index to obtain a second comparison result;

[0219] S206: Evaluate the restoration effect of the mine ecology according to the first comparison result and the second comparison result.

[0220] It can be seen that through remote sensing satellites, drones and field measurements, ecological data sets before and after mine ecological restoration in the target mining area are collected; the mine ecological images before and after mine ecological restoration in the ecological data set are identified, and the first difference between the mine ecological image after restoration and the mine ecological image before restoration is calculated; according to the ecological data set, the ecological health index of the mine after ecological restoration is calculated; the first difference is compared with the ideal difference to obtain a first comparison result; the ecological health index is compared with the ideal ecological health index to obtain a second comparison result; according to the first comparison result and the second comparison result, the restoration effect of the mine ecology is evaluated, so that ecological data can be efficiently collected and analyzed, and a comprehensive ecological health assessment can be carried out through quantitative indicators, so as to more scientifically judge the actual effect of ecological restoration and promote the scientific, standardized and standardized ecological restoration of mines.

[0221] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the present invention is not limited to the scope of implementation shown in the drawings. Any changes made according to the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which still do not exceed the spirit covered by the description and drawings, should be within the protection scope of the present invention.

Claims

1. An image recognition method for evaluating mine ecological restoration, characterized in that: The method comprises: Collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements; Identify the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculate the first difference between the mine ecological images after restoration and the mine ecological images before restoration; Calculate the ecological health index of the mine after ecological restoration based on the ecological data set; Comparing the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration; Comparing the ecological health index with the ideal ecological health index to obtain a second comparison result; Based on the first comparison result and the second comparison result, the restoration effect of the mine ecology is evaluated.

2. The method according to claim 1, characterized in that The calculating of the first difference between the ecological image of the mine after restoration and the ecological image of the mine before restoration includes: The color difference is calculated as: Wherein, H_{pre} is the color histogram of the mine ecological image before restoration, H_{post} is the color histogram of the mine ecological image after restoration, H_{pre}(i) is the value of H_{pre} at the position of the i-th color component, indicating the number of pixels of the i-th color, H_{post}(i) is the value of H_{post} at the position of the i-th color component, and N is the total number of color components; The difference between texture and shape is calculated as: Wherein, D_{texture} is the texture difference: Wherein, T_{pre} is the texture histogram of the mine ecological image before restoration, T_{post} is the texture histogram of the mine ecological image after restoration, T_{pre}(j) is the feature value of T_{pre} at the jth texture feature, T_{post}(j) is the feature value of T_{post} at the jth texture feature, and M is the total number of texture features; The D_{shape} is the shape difference: Wherein, P_{post}(k) is the value of the mine ecological image at the kth Hu moment after restoration, and P_{pre}(k) is the value of the mine ecological image at the kth Hu moment before restoration; According to the color difference and the texture and shape difference, the first difference is calculated as: D_{total}=alpha·D_{color}+beta·D_{ts} Among them, the alpha and the beta are corresponding weight coefficients.

3. The method according to claim 2, characterized in that The calculation formula of the ecological health index is: EHI=w_1·E_{biodiversity}+w_2·E_{vegetation}+w_3·E_{soil}+w_4·E_{water}+w_5·E_{air} Among them, the EHI is the ecological health index, the E_{biodiversity} is the biodiversity index, the E_{vegetation} is the vegetation cover index, the E_{soil} is the soil health index, the E_{water} is the water quality index, the E_{air} is the air quality index, and the w_1, w_2, w_3, w_4, and w_5 are corresponding influencing factors.

4. The method according to claim 3, characterized in that in, The E_{biodiversity} is: Wherein, S is the number of species in the target mine area after restoration, S_{max} is the ideal number of species, H′ is the Shannon diversity index in the target mine area after restoration, and H′_{max} is the ideal Shannon diversity index; The E_{vegetation} is: Wherein, V_{post} is the vegetation coverage area in the target mine area after restoration, V_{max} is the ideal vegetation coverage area, and C_{NDVI} is the normalized difference vegetation index; The E_{soil} is: Wherein, the pH is the average pH value of the soil in the target mine area after restoration, the pH_{opt} is the ideal pH value, the OC is the average soil organic carbon content in the target mine area after restoration, the OC_{max} is the ideal organic carbon content, and the OC_{min} is the minimum organic carbon content; The E_{water} is: Wherein, C_{pollutants} is the total amount of pollutants in the water body in the target mining area after restoration, and C_{pollutants,max} is the ideal total amount of pollutants allowed in the water body; The E_{air} is: The AQI is the air quality index in the target mine area after restoration, and the AQI_{max} is the ideal air quality index.

5. The method according to claim 4, characterized in that The comparing the first difference with the ideal difference to obtain a first comparison result includes: A ratio of the first difference to the ideal difference is calculated as a first comparison result.

6. The method according to claim 5, characterized in that The step of comparing the ecological health index with the ideal ecological health index to obtain a second comparison result includes: The ratio of the ecological health index to the ideal ecological health index is calculated as the second comparison result.

7. The method according to claim 6, characterized in that The step of evaluating the restoration effect of the mine ecology according to the first comparison result and the second comparison result includes: If the first comparison result is greater than a first preset threshold value and the second comparison result is greater than a second preset threshold value, the restoration effect of the mine ecology is evaluated as: the appearance restoration meets the standard and the ecological environment meets the standard; If the first comparison result is greater than a first preset threshold value and the second comparison result is less than or equal to a second preset threshold value, the restoration effect of the mine ecology is evaluated as: the appearance restoration meets the standard, but the ecological environment does not meet the standard; If the first comparison result is less than or equal to a first preset threshold value, and the second comparison result is greater than a second preset threshold value, then the restoration effect of the mine ecology is evaluated as follows: the appearance restoration does not meet the standard, but the ecological environment meets the standard; If the first comparison result is less than or equal to the first preset threshold and the second comparison result is less than or equal to the second preset threshold, the restoration effect of the mine ecology is evaluated as: the appearance restoration does not meet the standards and the ecological environment does not meet the standards.

8. An image recognition system for evaluating mine ecological restoration, characterized in that: The system comprises: The acquisition module is used to collect ecological data sets before and after mine ecological restoration in the target mining area through remote sensing satellites, drones and field measurements; A first calculation module, used to identify the mine ecological images before and after the mine ecological restoration in the ecological data set, and calculate a first difference between the mine ecological image after restoration and the mine ecological image before restoration; A second calculation module is used to calculate the ecological health index of the mine after ecological restoration based on the ecological data set; A first comparison module, configured to compare the first difference with an ideal difference to obtain a first comparison result, wherein the ideal difference is a difference between an ideal mine ecological image and a mine ecological image before restoration; A second comparison module is used to compare the ecological health index with the ideal ecological health index to obtain a second comparison result; An evaluation module is used to evaluate the restoration effect of the mine ecology based on the first comparison result and the second comparison result.

9. A storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the method according to any one of claims 1 to 7 when executed.

10. An electronic device comprising a memory and a processor, characterized in that: A computer program is stored in the memory, and the processor is configured to run the computer program to perform the method according to any one of claims 1 to 7.

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